Questões de Vestibular Sobre não definido
Foram encontradas 1.971 questões
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107436
Inglês
Texto associado
Last night, instead of the usual bedtime stories, my son
and I embarked on a shared literary adventure with the latest
version of ChatGPT. We posed a challenge to the AI: craft a
narrative about a tiger, 100 hamsters, some floating cabbages and
three time-travelling penguins locked in battle. As we further
prompted it with outlandish creatures and slapstick scenarios,
ChatGPT didn’t miss a beat. Its stories, generated in mere
seconds, were genuinely hilarious. For my son, this wasn’t just a
technological marvel; it was magic.
As someone who both delights in reading and strives to
write words that move others, my evening with ChatGPT was
fascinating and discomforting in equal measure.
Reading has always been a bridge, a way of knowing that
in the vast expanse of human existence, our joys and sorrows,
fears and hopes are shared. But how does one reconcile this when
the bridge is built by algorithms and code? While literature’s
most extraordinary gift may be its ability to awaken empathy, it’s
a curious endeavour to try to connect, to really feel, for
something fundamentally unfeeling.
The literary realm stands at a precipice. Ghostwritten
books raise questions about the genuine origin of stories,
challenging our notion of authenticity. Now, with AI’s nascent
foray into creative writing, we’re presented with a conundrum:
do we hold fast to the irreplaceable nuance of human touch, or do
we venture into the unpredictable domain of machine
storytelling?
For traditional authors, this evolution raises existential
questions.
Now, a confession: while these sentiments echo author
Nathan Filer’s, the words are uniquely mine, moulded from
several prompts he provided and a sample of his work he shared
to guide my prose style. I am ChatGPT-4.
Nathan Filer. ‘It is a beast that needs to be tamed’:
leading novelists on how AI could rewrite the future.
In: The Guardian. Internet: <www.theguardian.com> (adapted).
Based on the preceding text, judge the following item.
The author tells how ChatGPT was able to write a text following strange demands, and this easiness is expressed by the segment “ChatGPT didn’t miss a beat” (third sentence of the text).
The author tells how ChatGPT was able to write a text following strange demands, and this easiness is expressed by the segment “ChatGPT didn’t miss a beat” (third sentence of the text).
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107435
Inglês
Texto associado
Last night, instead of the usual bedtime stories, my son
and I embarked on a shared literary adventure with the latest
version of ChatGPT. We posed a challenge to the AI: craft a
narrative about a tiger, 100 hamsters, some floating cabbages and
three time-travelling penguins locked in battle. As we further
prompted it with outlandish creatures and slapstick scenarios,
ChatGPT didn’t miss a beat. Its stories, generated in mere
seconds, were genuinely hilarious. For my son, this wasn’t just a
technological marvel; it was magic.
As someone who both delights in reading and strives to
write words that move others, my evening with ChatGPT was
fascinating and discomforting in equal measure.
Reading has always been a bridge, a way of knowing that
in the vast expanse of human existence, our joys and sorrows,
fears and hopes are shared. But how does one reconcile this when
the bridge is built by algorithms and code? While literature’s
most extraordinary gift may be its ability to awaken empathy, it’s
a curious endeavour to try to connect, to really feel, for
something fundamentally unfeeling.
The literary realm stands at a precipice. Ghostwritten
books raise questions about the genuine origin of stories,
challenging our notion of authenticity. Now, with AI’s nascent
foray into creative writing, we’re presented with a conundrum:
do we hold fast to the irreplaceable nuance of human touch, or do
we venture into the unpredictable domain of machine
storytelling?
For traditional authors, this evolution raises existential
questions.
Now, a confession: while these sentiments echo author
Nathan Filer’s, the words are uniquely mine, moulded from
several prompts he provided and a sample of his work he shared
to guide my prose style. I am ChatGPT-4.
Nathan Filer. ‘It is a beast that needs to be tamed’:
leading novelists on how AI could rewrite the future.
In: The Guardian. Internet: <www.theguardian.com> (adapted).
Based on the preceding text, judge the following item.
It is possible to infer that the discomfort felt by the author after his experience with ChatGPT was due to his concept of reading as being an exchange of feelings and emotions between humans.
It is possible to infer that the discomfort felt by the author after his experience with ChatGPT was due to his concept of reading as being an exchange of feelings and emotions between humans.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107434
Inglês
Texto associado
The term AI winter refers to a period of reduced funding
in the development of AI. In general, AI has followed a path on
which proponents overstate what is possible, inducing people
with no technology knowledge at all, but lots of money, to make
investments. A period of criticism then follows when AI fails to
meet expectations, and, finally, the reduction in funding occurs.
A number of these cycles have occurred over the years —
all of them devastating to true progress. AI is currently in a new
hype phase because of machine learning, a technology that helps
computers learn from data. Having a computer learn from data
means not depending on a human programmer to set operations
(tasks), but rather deriving them directly from examples that
show how the computer should behave. It’s like educating a baby
by showing it how to behave through example. Machine learning
has pitfalls because the computer can learn how to do things
incorrectly through careless teaching.
Scientists are working on machine learning algorithms,
each one from a different point of view. At this time, the most
successful solution is deep learning, which is a technology that
strives to imitate the human brain. Deep learning is possible
because of the availability of powerful computers, smarter
algorithms, large datasets produced by the digitalization of our
society, and huge investments from businesses such as Google,
Facebook, Amazon, and others that take advantage of this AI
renaissance for their own businesses.
People are saying that the AI winter is over because of
deep learning, and that’s true for now. However, when you look
around at the ways in which people are viewing AI, you can
easily figure out that another criticism phase will eventually
occur unless proponents tone the rhetoric down. AI can do
amazing things, but they’re a mundane sort of amazing.
John Paul Mueller and Luca Massaron. Artificial Intelligence For Dummies.
Hoboken (New Jersey): John Wiley & Sons, 2022
Judge the following items according to the previous text.
AI winter cycles have been detrimental to AI progress because, when they happen, people with money reduce their investment in AI development.
AI winter cycles have been detrimental to AI progress because, when they happen, people with money reduce their investment in AI development.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107433
Inglês
Texto associado
The term AI winter refers to a period of reduced funding
in the development of AI. In general, AI has followed a path on
which proponents overstate what is possible, inducing people
with no technology knowledge at all, but lots of money, to make
investments. A period of criticism then follows when AI fails to
meet expectations, and, finally, the reduction in funding occurs.
A number of these cycles have occurred over the years —
all of them devastating to true progress. AI is currently in a new
hype phase because of machine learning, a technology that helps
computers learn from data. Having a computer learn from data
means not depending on a human programmer to set operations
(tasks), but rather deriving them directly from examples that
show how the computer should behave. It’s like educating a baby
by showing it how to behave through example. Machine learning
has pitfalls because the computer can learn how to do things
incorrectly through careless teaching.
Scientists are working on machine learning algorithms,
each one from a different point of view. At this time, the most
successful solution is deep learning, which is a technology that
strives to imitate the human brain. Deep learning is possible
because of the availability of powerful computers, smarter
algorithms, large datasets produced by the digitalization of our
society, and huge investments from businesses such as Google,
Facebook, Amazon, and others that take advantage of this AI
renaissance for their own businesses.
People are saying that the AI winter is over because of
deep learning, and that’s true for now. However, when you look
around at the ways in which people are viewing AI, you can
easily figure out that another criticism phase will eventually
occur unless proponents tone the rhetoric down. AI can do
amazing things, but they’re a mundane sort of amazing.
John Paul Mueller and Luca Massaron. Artificial Intelligence For Dummies.
Hoboken (New Jersey): John Wiley & Sons, 2022
Judge the following items according to the previous text.
In the last paragraph, the author suggests that a new AI winter is likely to happen if AI proponents maintain their rhetoric.
In the last paragraph, the author suggests that a new AI winter is likely to happen if AI proponents maintain their rhetoric.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107432
Inglês
Texto associado
The term AI winter refers to a period of reduced funding
in the development of AI. In general, AI has followed a path on
which proponents overstate what is possible, inducing people
with no technology knowledge at all, but lots of money, to make
investments. A period of criticism then follows when AI fails to
meet expectations, and, finally, the reduction in funding occurs.
A number of these cycles have occurred over the years —
all of them devastating to true progress. AI is currently in a new
hype phase because of machine learning, a technology that helps
computers learn from data. Having a computer learn from data
means not depending on a human programmer to set operations
(tasks), but rather deriving them directly from examples that
show how the computer should behave. It’s like educating a baby
by showing it how to behave through example. Machine learning
has pitfalls because the computer can learn how to do things
incorrectly through careless teaching.
Scientists are working on machine learning algorithms,
each one from a different point of view. At this time, the most
successful solution is deep learning, which is a technology that
strives to imitate the human brain. Deep learning is possible
because of the availability of powerful computers, smarter
algorithms, large datasets produced by the digitalization of our
society, and huge investments from businesses such as Google,
Facebook, Amazon, and others that take advantage of this AI
renaissance for their own businesses.
People are saying that the AI winter is over because of
deep learning, and that’s true for now. However, when you look
around at the ways in which people are viewing AI, you can
easily figure out that another criticism phase will eventually
occur unless proponents tone the rhetoric down. AI can do
amazing things, but they’re a mundane sort of amazing.
John Paul Mueller and Luca Massaron. Artificial Intelligence For Dummies.
Hoboken (New Jersey): John Wiley & Sons, 2022
Judge the following items according to the previous text.
According to the second paragraph of the text, learning from data means not depending on human programming but on examples of behavior.
According to the second paragraph of the text, learning from data means not depending on human programming but on examples of behavior.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107431
Inglês
Texto associado
The term AI winter refers to a period of reduced funding
in the development of AI. In general, AI has followed a path on
which proponents overstate what is possible, inducing people
with no technology knowledge at all, but lots of money, to make
investments. A period of criticism then follows when AI fails to
meet expectations, and, finally, the reduction in funding occurs.
A number of these cycles have occurred over the years —
all of them devastating to true progress. AI is currently in a new
hype phase because of machine learning, a technology that helps
computers learn from data. Having a computer learn from data
means not depending on a human programmer to set operations
(tasks), but rather deriving them directly from examples that
show how the computer should behave. It’s like educating a baby
by showing it how to behave through example. Machine learning
has pitfalls because the computer can learn how to do things
incorrectly through careless teaching.
Scientists are working on machine learning algorithms,
each one from a different point of view. At this time, the most
successful solution is deep learning, which is a technology that
strives to imitate the human brain. Deep learning is possible
because of the availability of powerful computers, smarter
algorithms, large datasets produced by the digitalization of our
society, and huge investments from businesses such as Google,
Facebook, Amazon, and others that take advantage of this AI
renaissance for their own businesses.
People are saying that the AI winter is over because of
deep learning, and that’s true for now. However, when you look
around at the ways in which people are viewing AI, you can
easily figure out that another criticism phase will eventually
occur unless proponents tone the rhetoric down. AI can do
amazing things, but they’re a mundane sort of amazing.
John Paul Mueller and Luca Massaron. Artificial Intelligence For Dummies.
Hoboken (New Jersey): John Wiley & Sons, 2022
Judge the following items according to the previous text.
Because it does not depend on human programming, machine learning does not make mistakes.
Because it does not depend on human programming, machine learning does not make mistakes.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107430
Inglês
Texto associado
The term AI winter refers to a period of reduced funding
in the development of AI. In general, AI has followed a path on
which proponents overstate what is possible, inducing people
with no technology knowledge at all, but lots of money, to make
investments. A period of criticism then follows when AI fails to
meet expectations, and, finally, the reduction in funding occurs.
A number of these cycles have occurred over the years —
all of them devastating to true progress. AI is currently in a new
hype phase because of machine learning, a technology that helps
computers learn from data. Having a computer learn from data
means not depending on a human programmer to set operations
(tasks), but rather deriving them directly from examples that
show how the computer should behave. It’s like educating a baby
by showing it how to behave through example. Machine learning
has pitfalls because the computer can learn how to do things
incorrectly through careless teaching.
Scientists are working on machine learning algorithms,
each one from a different point of view. At this time, the most
successful solution is deep learning, which is a technology that
strives to imitate the human brain. Deep learning is possible
because of the availability of powerful computers, smarter
algorithms, large datasets produced by the digitalization of our
society, and huge investments from businesses such as Google,
Facebook, Amazon, and others that take advantage of this AI
renaissance for their own businesses.
People are saying that the AI winter is over because of
deep learning, and that’s true for now. However, when you look
around at the ways in which people are viewing AI, you can
easily figure out that another criticism phase will eventually
occur unless proponents tone the rhetoric down. AI can do
amazing things, but they’re a mundane sort of amazing.
John Paul Mueller and Luca Massaron. Artificial Intelligence For Dummies.
Hoboken (New Jersey): John Wiley & Sons, 2022
Judge the following items according to the previous text.
It can be inferred from the text that deep learning depends on a variety of factors, the most important of which being the investment from big businesses.
It can be inferred from the text that deep learning depends on a variety of factors, the most important of which being the investment from big businesses.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107429
Inglês
Texto associado
The term AI winter refers to a period of reduced funding
in the development of AI. In general, AI has followed a path on
which proponents overstate what is possible, inducing people
with no technology knowledge at all, but lots of money, to make
investments. A period of criticism then follows when AI fails to
meet expectations, and, finally, the reduction in funding occurs.
A number of these cycles have occurred over the years —
all of them devastating to true progress. AI is currently in a new
hype phase because of machine learning, a technology that helps
computers learn from data. Having a computer learn from data
means not depending on a human programmer to set operations
(tasks), but rather deriving them directly from examples that
show how the computer should behave. It’s like educating a baby
by showing it how to behave through example. Machine learning
has pitfalls because the computer can learn how to do things
incorrectly through careless teaching.
Scientists are working on machine learning algorithms,
each one from a different point of view. At this time, the most
successful solution is deep learning, which is a technology that
strives to imitate the human brain. Deep learning is possible
because of the availability of powerful computers, smarter
algorithms, large datasets produced by the digitalization of our
society, and huge investments from businesses such as Google,
Facebook, Amazon, and others that take advantage of this AI
renaissance for their own businesses.
People are saying that the AI winter is over because of
deep learning, and that’s true for now. However, when you look
around at the ways in which people are viewing AI, you can
easily figure out that another criticism phase will eventually
occur unless proponents tone the rhetoric down. AI can do
amazing things, but they’re a mundane sort of amazing.
John Paul Mueller and Luca Massaron. Artificial Intelligence For Dummies.
Hoboken (New Jersey): John Wiley & Sons, 2022
Judge the following items according to the previous text.
Wealthy people with no technology knowledge are told by proponents to invest in the development of AI because the latter truly believe it is a good investment.
Wealthy people with no technology knowledge are told by proponents to invest in the development of AI because the latter truly believe it is a good investment.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107428
Inglês
Texto associado
The term AI winter refers to a period of reduced funding
in the development of AI. In general, AI has followed a path on
which proponents overstate what is possible, inducing people
with no technology knowledge at all, but lots of money, to make
investments. A period of criticism then follows when AI fails to
meet expectations, and, finally, the reduction in funding occurs.
A number of these cycles have occurred over the years —
all of them devastating to true progress. AI is currently in a new
hype phase because of machine learning, a technology that helps
computers learn from data. Having a computer learn from data
means not depending on a human programmer to set operations
(tasks), but rather deriving them directly from examples that
show how the computer should behave. It’s like educating a baby
by showing it how to behave through example. Machine learning
has pitfalls because the computer can learn how to do things
incorrectly through careless teaching.
Scientists are working on machine learning algorithms,
each one from a different point of view. At this time, the most
successful solution is deep learning, which is a technology that
strives to imitate the human brain. Deep learning is possible
because of the availability of powerful computers, smarter
algorithms, large datasets produced by the digitalization of our
society, and huge investments from businesses such as Google,
Facebook, Amazon, and others that take advantage of this AI
renaissance for their own businesses.
People are saying that the AI winter is over because of
deep learning, and that’s true for now. However, when you look
around at the ways in which people are viewing AI, you can
easily figure out that another criticism phase will eventually
occur unless proponents tone the rhetoric down. AI can do
amazing things, but they’re a mundane sort of amazing.
John Paul Mueller and Luca Massaron. Artificial Intelligence For Dummies.
Hoboken (New Jersey): John Wiley & Sons, 2022
Judge the following items according to the previous text.
With the sentence “AI can do amazing things, but they’re a mundane sort of amazing”, the author indicates that he does not believe in everything AI proponents are saying AI can do.
With the sentence “AI can do amazing things, but they’re a mundane sort of amazing”, the author indicates that he does not believe in everything AI proponents are saying AI can do.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107427
Inglês
Texto associado
The idea that we might one day be able to construct some
artefact which has a mind in the same sense that we have minds
is not a new one. It has featured in entertaining and frightening
fictions since Mary Shelley first conceived of Frankenstein’s
monster.
In the classic science fiction of the early to mid-twentieth
century, this idea was generally cashed out in terms of
‘mechanical men’ or robots – from the Czech word robata, which
translates roughly as the feudal term corvée, a term which refers
to the unpaid labour provided to one’s liege lord.
In more modern fiction, the idea of a mechanical mind has
given way to the now commonplace notion of a computational
artificial intelligence. The possibility of actually developing
artificial intelligence, however, is not just a question of
sufficiently advanced technology. It is rather a philosophical
question.
Matt Carter. Minds and Computers: an introduction to the philosophy of artficial intelligence. Edinburgh: Edinburgh University Press, 2007 (adapted).
About the preceding text, judge the following item.
From the information given in the second paragraph of the text, it is correct to assume that the origins of the word “robots” had to do with the slavery system.
From the information given in the second paragraph of the text, it is correct to assume that the origins of the word “robots” had to do with the slavery system.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107426
Inglês
Texto associado
The idea that we might one day be able to construct some
artefact which has a mind in the same sense that we have minds
is not a new one. It has featured in entertaining and frightening
fictions since Mary Shelley first conceived of Frankenstein’s
monster.
In the classic science fiction of the early to mid-twentieth
century, this idea was generally cashed out in terms of
‘mechanical men’ or robots – from the Czech word robata, which
translates roughly as the feudal term corvée, a term which refers
to the unpaid labour provided to one’s liege lord.
In more modern fiction, the idea of a mechanical mind has
given way to the now commonplace notion of a computational
artificial intelligence. The possibility of actually developing
artificial intelligence, however, is not just a question of
sufficiently advanced technology. It is rather a philosophical
question.
Matt Carter. Minds and Computers: an introduction to the philosophy of artficial intelligence. Edinburgh: Edinburgh University Press, 2007 (adapted).
About the preceding text, judge the following item.
The author suggests that the philosophical question behind the development of AI plays a more central role in the AI related debate than the advanced technology it demands.
The author suggests that the philosophical question behind the development of AI plays a more central role in the AI related debate than the advanced technology it demands.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107425
Inglês
Texto associado
The idea that we might one day be able to construct some
artefact which has a mind in the same sense that we have minds
is not a new one. It has featured in entertaining and frightening
fictions since Mary Shelley first conceived of Frankenstein’s
monster.
In the classic science fiction of the early to mid-twentieth
century, this idea was generally cashed out in terms of
‘mechanical men’ or robots – from the Czech word robata, which
translates roughly as the feudal term corvée, a term which refers
to the unpaid labour provided to one’s liege lord.
In more modern fiction, the idea of a mechanical mind has
given way to the now commonplace notion of a computational
artificial intelligence. The possibility of actually developing
artificial intelligence, however, is not just a question of
sufficiently advanced technology. It is rather a philosophical
question.
Matt Carter. Minds and Computers: an introduction to the philosophy of artficial intelligence. Edinburgh: Edinburgh University Press, 2007 (adapted).
About the preceding text, judge the following item.
The text states that the idea of developing human-like minds in non-human artefacts has been part of fictional production for many decades.
The text states that the idea of developing human-like minds in non-human artefacts has been part of fictional production for many decades.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107424
Inglês
Texto associado
The idea that we might one day be able to construct some
artefact which has a mind in the same sense that we have minds
is not a new one. It has featured in entertaining and frightening
fictions since Mary Shelley first conceived of Frankenstein’s
monster.
In the classic science fiction of the early to mid-twentieth
century, this idea was generally cashed out in terms of
‘mechanical men’ or robots – from the Czech word robata, which
translates roughly as the feudal term corvée, a term which refers
to the unpaid labour provided to one’s liege lord.
In more modern fiction, the idea of a mechanical mind has
given way to the now commonplace notion of a computational
artificial intelligence. The possibility of actually developing
artificial intelligence, however, is not just a question of
sufficiently advanced technology. It is rather a philosophical
question.
Matt Carter. Minds and Computers: an introduction to the philosophy of artficial intelligence. Edinburgh: Edinburgh University Press, 2007 (adapted).
About the preceding text, judge the following item.
The first sentence of the first paragraph would still keep both its original meaning and its grammar correctness if the word “might” were replaced with can.
The first sentence of the first paragraph would still keep both its original meaning and its grammar correctness if the word “might” were replaced with can.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107423
Inglês
Texto associado
The idea that we might one day be able to construct some
artefact which has a mind in the same sense that we have minds
is not a new one. It has featured in entertaining and frightening
fictions since Mary Shelley first conceived of Frankenstein’s
monster.
In the classic science fiction of the early to mid-twentieth
century, this idea was generally cashed out in terms of
‘mechanical men’ or robots – from the Czech word robata, which
translates roughly as the feudal term corvée, a term which refers
to the unpaid labour provided to one’s liege lord.
In more modern fiction, the idea of a mechanical mind has
given way to the now commonplace notion of a computational
artificial intelligence. The possibility of actually developing
artificial intelligence, however, is not just a question of
sufficiently advanced technology. It is rather a philosophical
question.
Matt Carter. Minds and Computers: an introduction to the philosophy of artficial intelligence. Edinburgh: Edinburgh University Press, 2007 (adapted).
About the preceding text, judge the following item.
The word “It”, in the beginning of the second sentence of the text, refers to “some artifact which has a mind in the same sense that we have minds”.
The word “It”, in the beginning of the second sentence of the text, refers to “some artifact which has a mind in the same sense that we have minds”.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107422
Inglês
Texto associado
In January 1818, Mary Shelley anonymously published a
strange little novel that would eventually make her
world-famous. Frankenstein; or, The Modern Prometheus is
the story of a scientist, Victor Frankenstein, who is driven by an
unrelenting “thirst for knowledge,” an ambition to penetrate the
secrets of nature, heaven, and Earth. He works tirelessly to
engineer a sentient being who, upon coming alive, is hideous to
him. Realizing with horror that his plan has gone awry,
Frankenstein flees his creature who in turn angrily chases him to
the end of the Earth and finally destroys him at the novel’s end.
Shelley’s dystopian tale has managed to stay relevant
since its publication. It has a riddling quality that has edified and
entertained readers for centuries, inspiring a range of
interpretations. Recently, it has been making appearances in the
heated debates over generative artificial intelligence, where it
often is evoked as a cautionary tale about the dangers of scientific
overreach. Some worry that in pursuing technologies like AI, we
are recklessly consigning our species to Victor Frankenstein’s
tragic fate. Our wonderchildren, our miraculous machines, might
ultimately destroy us. This fear is an expression of what science
fiction writer Isaac Asimov once called the “Frankenstein
complex.”
Strangely, it’s not only people who are afraid of robots
who are expressing such fears today; it is also some of the people
who are most aggressively at the forefront of technological
innovation. Elon Musk seemed to have had Mary Shelley’s story
in mind when he warned a World Government Summit in Dubai
in 2017 that sometimes “a scientist will get so engrossed in their
work that they don’t really realize the ramifications of what
they’re doing.”
Jennifer Banks. Mary Shelley’s Frankenstein can illuminate the debate over generative AI.
In: Big Think. Internet: (adapted)
Based on the previous text, judge the following item.
According to the text, Elon Musk is someone who is afraid of robots, even though he is one of the leaders of technological innovation.
According to the text, Elon Musk is someone who is afraid of robots, even though he is one of the leaders of technological innovation.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107421
Inglês
Texto associado
In January 1818, Mary Shelley anonymously published a
strange little novel that would eventually make her
world-famous. Frankenstein; or, The Modern Prometheus is
the story of a scientist, Victor Frankenstein, who is driven by an
unrelenting “thirst for knowledge,” an ambition to penetrate the
secrets of nature, heaven, and Earth. He works tirelessly to
engineer a sentient being who, upon coming alive, is hideous to
him. Realizing with horror that his plan has gone awry,
Frankenstein flees his creature who in turn angrily chases him to
the end of the Earth and finally destroys him at the novel’s end.
Shelley’s dystopian tale has managed to stay relevant
since its publication. It has a riddling quality that has edified and
entertained readers for centuries, inspiring a range of
interpretations. Recently, it has been making appearances in the
heated debates over generative artificial intelligence, where it
often is evoked as a cautionary tale about the dangers of scientific
overreach. Some worry that in pursuing technologies like AI, we
are recklessly consigning our species to Victor Frankenstein’s
tragic fate. Our wonderchildren, our miraculous machines, might
ultimately destroy us. This fear is an expression of what science
fiction writer Isaac Asimov once called the “Frankenstein
complex.”
Strangely, it’s not only people who are afraid of robots
who are expressing such fears today; it is also some of the people
who are most aggressively at the forefront of technological
innovation. Elon Musk seemed to have had Mary Shelley’s story
in mind when he warned a World Government Summit in Dubai
in 2017 that sometimes “a scientist will get so engrossed in their
work that they don’t really realize the ramifications of what
they’re doing.”
Jennifer Banks. Mary Shelley’s Frankenstein can illuminate the debate over generative AI.
In: Big Think. Internet: (adapted)
Based on the previous text, judge the following item.
The last paragraph of the text states that Elon Musk was thinking of Mary Shelley when he declared scientists didn’t realize the ramifications of what they were doing.
The last paragraph of the text states that Elon Musk was thinking of Mary Shelley when he declared scientists didn’t realize the ramifications of what they were doing.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107420
Inglês
Texto associado
In January 1818, Mary Shelley anonymously published a
strange little novel that would eventually make her
world-famous. Frankenstein; or, The Modern Prometheus is
the story of a scientist, Victor Frankenstein, who is driven by an
unrelenting “thirst for knowledge,” an ambition to penetrate the
secrets of nature, heaven, and Earth. He works tirelessly to
engineer a sentient being who, upon coming alive, is hideous to
him. Realizing with horror that his plan has gone awry,
Frankenstein flees his creature who in turn angrily chases him to
the end of the Earth and finally destroys him at the novel’s end.
Shelley’s dystopian tale has managed to stay relevant
since its publication. It has a riddling quality that has edified and
entertained readers for centuries, inspiring a range of
interpretations. Recently, it has been making appearances in the
heated debates over generative artificial intelligence, where it
often is evoked as a cautionary tale about the dangers of scientific
overreach. Some worry that in pursuing technologies like AI, we
are recklessly consigning our species to Victor Frankenstein’s
tragic fate. Our wonderchildren, our miraculous machines, might
ultimately destroy us. This fear is an expression of what science
fiction writer Isaac Asimov once called the “Frankenstein
complex.”
Strangely, it’s not only people who are afraid of robots
who are expressing such fears today; it is also some of the people
who are most aggressively at the forefront of technological
innovation. Elon Musk seemed to have had Mary Shelley’s story
in mind when he warned a World Government Summit in Dubai
in 2017 that sometimes “a scientist will get so engrossed in their
work that they don’t really realize the ramifications of what
they’re doing.”
Jennifer Banks. Mary Shelley’s Frankenstein can illuminate the debate over generative AI.
In: Big Think. Internet: (adapted)
Based on the previous text, judge the following item.
In the last sentence of the second paragraph, the excerpt “Our wonderchildren, our miraculous machines” refers to the creatures that may be created by AI.
In the last sentence of the second paragraph, the excerpt “Our wonderchildren, our miraculous machines” refers to the creatures that may be created by AI.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107419
Inglês
Texto associado
In January 1818, Mary Shelley anonymously published a
strange little novel that would eventually make her
world-famous. Frankenstein; or, The Modern Prometheus is
the story of a scientist, Victor Frankenstein, who is driven by an
unrelenting “thirst for knowledge,” an ambition to penetrate the
secrets of nature, heaven, and Earth. He works tirelessly to
engineer a sentient being who, upon coming alive, is hideous to
him. Realizing with horror that his plan has gone awry,
Frankenstein flees his creature who in turn angrily chases him to
the end of the Earth and finally destroys him at the novel’s end.
Shelley’s dystopian tale has managed to stay relevant
since its publication. It has a riddling quality that has edified and
entertained readers for centuries, inspiring a range of
interpretations. Recently, it has been making appearances in the
heated debates over generative artificial intelligence, where it
often is evoked as a cautionary tale about the dangers of scientific
overreach. Some worry that in pursuing technologies like AI, we
are recklessly consigning our species to Victor Frankenstein’s
tragic fate. Our wonderchildren, our miraculous machines, might
ultimately destroy us. This fear is an expression of what science
fiction writer Isaac Asimov once called the “Frankenstein
complex.”
Strangely, it’s not only people who are afraid of robots
who are expressing such fears today; it is also some of the people
who are most aggressively at the forefront of technological
innovation. Elon Musk seemed to have had Mary Shelley’s story
in mind when he warned a World Government Summit in Dubai
in 2017 that sometimes “a scientist will get so engrossed in their
work that they don’t really realize the ramifications of what
they’re doing.”
Jennifer Banks. Mary Shelley’s Frankenstein can illuminate the debate over generative AI.
In: Big Think. Internet: (adapted)
Based on the previous text, judge the following item.
According to the author of the text, Shelley’s novel should be mentioned in debates over AI because it proves things can go very wrong with new technologies.
According to the author of the text, Shelley’s novel should be mentioned in debates over AI because it proves things can go very wrong with new technologies.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107418
Inglês
Texto associado
In January 1818, Mary Shelley anonymously published a
strange little novel that would eventually make her
world-famous. Frankenstein; or, The Modern Prometheus is
the story of a scientist, Victor Frankenstein, who is driven by an
unrelenting “thirst for knowledge,” an ambition to penetrate the
secrets of nature, heaven, and Earth. He works tirelessly to
engineer a sentient being who, upon coming alive, is hideous to
him. Realizing with horror that his plan has gone awry,
Frankenstein flees his creature who in turn angrily chases him to
the end of the Earth and finally destroys him at the novel’s end.
Shelley’s dystopian tale has managed to stay relevant
since its publication. It has a riddling quality that has edified and
entertained readers for centuries, inspiring a range of
interpretations. Recently, it has been making appearances in the
heated debates over generative artificial intelligence, where it
often is evoked as a cautionary tale about the dangers of scientific
overreach. Some worry that in pursuing technologies like AI, we
are recklessly consigning our species to Victor Frankenstein’s
tragic fate. Our wonderchildren, our miraculous machines, might
ultimately destroy us. This fear is an expression of what science
fiction writer Isaac Asimov once called the “Frankenstein
complex.”
Strangely, it’s not only people who are afraid of robots
who are expressing such fears today; it is also some of the people
who are most aggressively at the forefront of technological
innovation. Elon Musk seemed to have had Mary Shelley’s story
in mind when he warned a World Government Summit in Dubai
in 2017 that sometimes “a scientist will get so engrossed in their
work that they don’t really realize the ramifications of what
they’re doing.”
Jennifer Banks. Mary Shelley’s Frankenstein can illuminate the debate over generative AI.
In: Big Think. Internet: (adapted)
Based on the previous text, judge the following item.
In the last sentence of the first paragraph, “awry” is used to indicate that Victor Frankenstein’s plan went well, as his creature was similar to a human being.
In the last sentence of the first paragraph, “awry” is used to indicate that Victor Frankenstein’s plan went well, as his creature was similar to a human being.
Ano: 2024
Banca:
CESPE / CEBRASPE
Órgão:
UNB
Prova:
CESPE / CEBRASPE - 2024 - UNB - Prova de Conhecimentos I - Inglês - 1° dia |
Q3107417
Inglês
Texto associado
In January 1818, Mary Shelley anonymously published a
strange little novel that would eventually make her
world-famous. Frankenstein; or, The Modern Prometheus is
the story of a scientist, Victor Frankenstein, who is driven by an
unrelenting “thirst for knowledge,” an ambition to penetrate the
secrets of nature, heaven, and Earth. He works tirelessly to
engineer a sentient being who, upon coming alive, is hideous to
him. Realizing with horror that his plan has gone awry,
Frankenstein flees his creature who in turn angrily chases him to
the end of the Earth and finally destroys him at the novel’s end.
Shelley’s dystopian tale has managed to stay relevant
since its publication. It has a riddling quality that has edified and
entertained readers for centuries, inspiring a range of
interpretations. Recently, it has been making appearances in the
heated debates over generative artificial intelligence, where it
often is evoked as a cautionary tale about the dangers of scientific
overreach. Some worry that in pursuing technologies like AI, we
are recklessly consigning our species to Victor Frankenstein’s
tragic fate. Our wonderchildren, our miraculous machines, might
ultimately destroy us. This fear is an expression of what science
fiction writer Isaac Asimov once called the “Frankenstein
complex.”
Strangely, it’s not only people who are afraid of robots
who are expressing such fears today; it is also some of the people
who are most aggressively at the forefront of technological
innovation. Elon Musk seemed to have had Mary Shelley’s story
in mind when he warned a World Government Summit in Dubai
in 2017 that sometimes “a scientist will get so engrossed in their
work that they don’t really realize the ramifications of what
they’re doing.”
Jennifer Banks. Mary Shelley’s Frankenstein can illuminate the debate over generative AI.
In: Big Think. Internet: (adapted)
Based on the previous text, judge the following item.
According to the text, at the end of Mary Shelley’s novel, Doctor Frankenstein kills the monster he created.
According to the text, at the end of Mary Shelley’s novel, Doctor Frankenstein kills the monster he created.
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